COLLOQUIUM OF THE COMPUTATIONAL MATERIALS SCIENCE CENTER AND THE DEPARTMENT OF COMPUTATIONAL AND DATA SCIENCES – Towards Reliable Spatial And Spatio-Temporal Pattern Analysis – Matthias Renz

When:
April 25, 2016 @ 4:30 pm – 5:45 pm
2016-04-25T16:30:00-04:00
2016-04-25T17:45:00-04:00
Where:
Exploratory Hall, Room 3301
Fairfax
VA
USA
Cost:
Free
Contact:
Estela Blaistein
703-993-1988

COLLOQUIUM OF THE COMPUTATIONAL MATERIALS SCIENCE CENTER
AND THE DEPARTMENT OF COMPUTATIONAL AND DATA SCIENCES (CSI 898-Sec 001)

TOWARDS RELIABLE SPATIAL AND SPATIO-TEMPORAL PATTERN ANALYSIS

 

Matthias Renz
Department of Computational and Data Sciences
George Mason University
Fairfax, VA

 

Current technology trends, such as smart phones, mobile devices, stationary sensors and satellites, coupled with a new user mentality of voluntarily sharing information generates a huge volume of geo-spatial and geo-temporal data that might be useful for many applications. Indeed, the increasing volume of geo-spatial data from heterogeneous sources is an example of Big Data. In this talk I will present effective and efficient solutions to problems related to reliable spatial pattern analysis and mining of uncertain spatial and spatio-temporal data. These techniques can substantially improve the quality of decision making, minimize risk, and unearth valuable insights from data that would otherwise remain hidden. Use of uncertain data presents a two-fold challenge: 1) identifying potential solutions and assigning a probability to each solution such that the user is confident about the results, and 2) enabling fast computations such that the user obtains results in a reasonable time, even for large data sets.

April 25, 2016, 4:30 pm
Exploratory Hall, Room 3301
Fairfax Campus

 

Refreshments will be served at 4:15 PM.

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Find the schedule at http://www.cmasc.gmu.edu/seminars.htm